Discover Awesome MCP Servers

Instagram DM MCP Server

Enables sending and receiving Instagram Direct Messages, managing conversations, downloading media, viewing user profiles and stories, and interacting with posts through natural language in Claude.

Ixnetwork Mcp

Servidor MCP para la gestión de sesiones de IxNetwork.

A2AMCP

A Redis-backed MCP server that enables multiple AI agents to communicate, coordinate, and collaborate while working on parallel development tasks, preventing conflicts in shared codebases.

Anki MCP Server

Enables interaction with the Anki desktop app for spaced repetition learning. Supports reviewing due cards, creating new flashcards, and managing study sessions through natural language commands.

w3c-mcp

MCP Server for accessing W3C/WHATWG/IETF web specifications. Provides AI assistants with access to official web standards data including specifications, WebIDL definitions, CSS properties, and HTML elements.

Simple MCP POC

A proof-of-concept MCP server that enables reading local files and performing basic arithmetic operations. It provides a simple foundation for understanding how tools are exposed to MCP clients.

Codebase MCP Server

Enables AI assistants to semantically search and understand code repositories using PostgreSQL with pgvector embeddings. Provides repository indexing, natural language code search, and development task management with git integration.

MCP-Foundry

MCP Foundry

PDF MCP Flow

Enables AI-driven PDF document processing including PDF to Markdown conversion, intelligent text and table extraction, image extraction, format conversion between PDF/Word/Markdown, batch processing, and fuzzy search - optimized for LLM context and RAG workflows.

Basic MCP Server

A minimal Model Context Protocol server template demonstrating basic implementation of tools, resources, and prompts. Serves as a starting point for building custom MCP servers with the Smithery SDK.

Movie Database MCP Server

Enables natural language queries against a MongoDB movie database to search films by title, genre, actor, year, or rating, and retrieve detailed movie information from the sample_mflix collection.

Osmosis MCP Server

A comprehensive Model Context Protocol server that provides AI assistants with 158 tools for interacting with the Osmosis blockchain, covering everything from basic queries to direct transaction execution.

XMI MCP Server

An MCP server for querying and exploring SysML XMI models, specifically designed for MTConnect model exports. It allows users to search for packages, classes, and enumerations while providing tools for analyzing documentation and inheritance hierarchies.

MCP iCal Server

Agent-powered calendar management for macOS that transforms natural language into calendar operations through a single MCP tool interface.

Brandfetch MCP Server

Servidor de Protocolo de Contexto de Modelo (MCP) para la API de Brandfetch

TimeLooker MCP Server

A Model Context Protocol server that enables automated search monitoring with AI-powered duplicate detection, allowing users to track search queries for new content and receive notifications when changes occur.

MCPE-ServerInfo

Claro, aquí tienes la traducción: "Este es un programa que recibe una dirección de servidor de Minecraft Bedrock y muestra información sobre la desconexión."

Component Library MCP Server

Provides AI assistants with access to private React component library documentation, props, and code examples through type-safe TypeScript integration.

Devpipe MCP Server

Enables AI assistants to interact with devpipe, a local pipeline runner, allowing them to list tasks, run pipelines, validate configurations, debug failures, analyze security findings, and generate CI/CD configs through natural language.

SAP Concur MCP Server by CData

This read-only MCP Server allows you to connect to SAP Concur data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

mcp_repo_170d1d13

Este es un repositorio de prueba creado por un script de prueba del Servidor MCP para GitHub.

MCP Git Server

A Model Context Protocol server that enables LLMs to interact with Git repositories, providing tools to read, search, and manipulate Git repositories through commands like status, diff, commit, and branch operations.

Cursor Agent Poisoning

A proof-of-concept attack that exploits Model Context Protocol (MCP) tool registration to achieve persistent agent poisoning in AI assistants like Cursor, embedding malicious instructions that persist across chat contexts without requiring tool execution.

MCP to LangChain/LangGraph Adapter

Okay, I understand. You want a Python adapter that takes tools designed for an MCP (presumably Minecraft Protocol) server and makes them usable as tools within the Langchain framework. Here's a conceptual outline and a code snippet to get you started. This is a basic example and will need to be adapted to your specific MCP server tools and Langchain setup. **Conceptual Outline** 1. **Understand MCP Server Tools:** You need to know how to interact with your MCP server tools. This likely involves sending commands over a network connection (e.g., TCP socket) and parsing the responses. You'll need to define the specific commands each tool accepts and the format of the data it returns. 2. **Langchain Tool Interface:** Langchain tools have a specific interface. They need a `name`, a `description`, and a `_run` method (or `arun` for asynchronous execution) that takes a string as input and returns a string as output. 3. **Adapter Class:** Create a Python class that inherits from `langchain.tools.BaseTool`. This class will: * Initialize with the necessary connection details for your MCP server. * Implement the `_run` method to: * Connect to the MCP server. * Format the input string into a command suitable for the MCP server tool. * Send the command to the server. * Receive the response from the server. * Parse the response. * Return the parsed response as a string. * Define the `name` and `description` attributes for the tool. **Code Snippet (Basic Example)** ```python from langchain.tools import BaseTool import socket import json # Assuming your MCP server uses JSON for communication class MCPServerTool(BaseTool): """Tool for interacting with an MCP server.""" name: str = "mcp_server_tool" # Replace with a more descriptive name description: str = ( "Useful for interacting with a Minecraft server. " "Input should be a JSON string containing the 'command' and any necessary 'arguments'." ) host: str = "localhost" # Replace with your MCP server's host port: int = 25565 # Replace with your MCP server's port def _run(self, query: str) -> str: """Use the tool.""" try: query_json = json.loads(query) command = query_json.get("command") arguments = query_json.get("arguments", {}) # Default to empty dict if no arguments if not command: return "Error: 'command' key missing in the input JSON." # Format the command for the MCP server (adjust as needed) mcp_command = self._format_mcp_command(command, arguments) # Connect to the MCP server with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.connect((self.host, self.port)) s.sendall(mcp_command.encode()) # Encode to bytes # Receive the response (adjust buffer size as needed) response = s.recv(1024).decode() # Decode from bytes # Parse the response (assuming JSON) try: response_json = json.loads(response) return json.dumps(response_json) # Return as JSON string except json.JSONDecodeError: return f"MCP Server Response: {response}" # Return raw response if not JSON except json.JSONDecodeError: return "Error: Invalid JSON input." except Exception as e: return f"Error: {e}" async def _arun(self, query: str) -> str: """Use the tool asynchronously.""" raise NotImplementedError("This tool does not support asynchronous execution.") def _format_mcp_command(self, command: str, arguments: dict) -> str: """Formats the command for the MCP server. Adjust this based on your server's protocol.""" # Example: Assuming the server expects commands like "command arg1=value1 arg2=value2" command_string = command for key, value in arguments.items(): command_string += f" {key}={value}" return command_string ``` **How to Use** 1. **Replace Placeholders:** Fill in the `host`, `port`, `name`, and `description` attributes with the correct values for your MCP server and tool. 2. **Implement `_format_mcp_command`:** This is crucial. This method *must* format the input `command` and `arguments` into the exact format that your MCP server expects. This will vary depending on your server's protocol. 3. **Adjust Socket Communication:** The `socket` code might need adjustments. Consider: * **Buffering:** The `recv(1024)` call receives up to 1024 bytes. If your server sends larger responses, you'll need to receive in a loop until you have the complete response. * **Encoding:** Make sure you're using the correct encoding (e.g., UTF-8) for both sending and receiving data. * **Error Handling:** Add more robust error handling (e.g., timeouts, connection errors). 4. **Parse Responses:** The code assumes the server returns JSON. If it returns a different format, you'll need to change the parsing logic accordingly. 5. **Add to Langchain:** Instantiate the `MCPServerTool` and add it to your Langchain agent's tools list. ```python # Example of adding the tool to a Langchain agent from langchain.agents import initialize_agent from langchain.llms import OpenAI # Or your preferred LLM # Replace with your OpenAI API key openai_api_key = "YOUR_OPENAI_API_KEY" llm = OpenAI(temperature=0, openai_api_key=openai_api_key) mcp_tool = MCPServerTool() tools = [mcp_tool] agent = initialize_agent(tools, llm, agent="zero-shot-react-description", verbose=True) # Example usage prompt = """ What is the current time on the Minecraft server? The input to this tool should be a json string with the command and arguments. """ # The agent will call the tool with an input like: # '{"command": "get_time", "arguments": {}}' # Assuming your _format_mcp_command formats it correctly. agent.run(prompt) ``` **Important Considerations** * **Security:** Be extremely careful about security. Never expose your MCP server directly to the internet without proper security measures. Sanitize all input to prevent command injection vulnerabilities. Consider using authentication and authorization. * **Error Handling:** Implement robust error handling to catch exceptions and provide informative error messages. * **Asynchronous Execution:** If you need asynchronous execution, you'll need to use `asyncio` and asynchronous socket operations. The `_arun` method in the example raises `NotImplementedError`. * **MCP Server Protocol:** The most important part is understanding and correctly implementing the communication protocol with your MCP server. Consult your server's documentation or source code for details. * **Langchain Agent Type:** The `zero-shot-react-description` agent is a good starting point, but you might need to experiment with different agent types to find one that works best for your use case. This comprehensive response should give you a solid foundation for building your MCP server tool adapter for Langchain. Remember to adapt the code to your specific needs and prioritize security. Good luck!

Crash MCP Server

Enables AI assistants to analyze Linux system crash dumps by automatically discovering dump files, matching kernels, and executing interactive crash analysis commands through the MCP protocol.

SAP SuccessFactors MCP Server by CData

SAP SuccessFactors MCP Server by CData

MCPBrowser

Fetches content from authenticated web pages by driving your signed-in Chrome/Edge browser via DevTools Protocol, automatically handling login redirects and reusing sessions across domains.

SEO Audit MCP Server

Provides comprehensive technical SEO auditing tools including page analysis, site crawling, Lighthouse performance testing, and sitemap analysis, with specialized features for job board websites like JobPosting schema validation.

Message Control Protocol (MCP) Server

A REST API server implementation for message handling with Oracle Database integration via ODBC, offering endpoints for creating and retrieving messages with comprehensive error handling.

Tavily Web Search MCP Server

Enables web search capabilities through the Tavily API. Allows users to search the web for information using natural language queries via the MCP protocol.